Clustering of Variables Around Latent Variables

Functions for the clustering of variables around Latent Variables, for 2-way or 3-way data. Each cluster of variables, which may be defined as a local or directional cluster, is associated with a latent variable. External variables measured on the same observations or/and additional information on the variables can be taken into account. A "noise" cluster or sparse latent variables can also be defined.


Reference manual

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2.0.1 by Evelyne Vigneau, a year ago

Browse source code at

Authors: Evelyne Vigneau [aut, cre] , Mingkun Chen [ctb] , Veronique Cariou [aut]

Documentation:   PDF Manual  

Task views: Psychometric Models and Methods

GPL-3 license

Imports Rcpp, doParallel, foreach, parallel, iterators, plyr

Suggests knitr, rmarkdown

Linking to Rcpp, RcppEigen

Suggested by ClustBlock.

See at CRAN